Models, methods, and the machinery of intelligence.
arXiv
Verdict: MajorDiffeomorphisms provide a flexible, topology-preserving mathematical tool for modeling complex spatial or temporal deformations and are used in various scientific fields.
We present Youtu-Parsing-Omni, an omni-modal parser that converts documents, images, audio, and video into structured records grounded in space and time, providing a perception layer for agents that read, locate, and…
Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction.
Diffusion vision-language models (DVLMs) process their entire input at every denoising step.
Scaling supervised training for working agents requires diverse professional tasks that yield reliable expert demonstrations.
Multimodal perception forms the foundation of multimodal intelligence.
The hair of stylized characters in games and avatars is built from hair cards: artist-placed ribbons whose geometry is the visible hair, animated by spring bones.
Multi-Token Prediction (MTP) is now a common ingredient in language-model pre-training, as it improves downstream performance and enables faster inference through speculative decoding.
Retrieval-augmented generation commonly serves separate models for reranking and answering, duplicating model residency and passage processing.